Hybrid trigonometric differential evolution for optimizing harmonic distribution

Shiyan Hu; Han Huang; Dariusz Czarkowski

doi:10.1109/ISCAS.2005.1464835

Hybrid trigonometric differential evolution for optimizing harmonic distribution

Shiyan Hu, Han Huang, Dariusz Czarkowski

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements.

Original language	English (US)
Article number	1464835
Pages (from-to)	1306-1309
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1464835
State	Published - 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: May 23 2005 → May 26 2005

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2005.1464835

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title = "Hybrid trigonometric differential evolution for optimizing harmonic distribution",

abstract = "In this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements.",

author = "Shiyan Hu and Han Huang and Dariusz Czarkowski",

year = "2005",

doi = "10.1109/ISCAS.2005.1464835",

language = "English (US)",

pages = "1306--1309",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

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T1 - Hybrid trigonometric differential evolution for optimizing harmonic distribution

AU - Hu, Shiyan

AU - Huang, Han

AU - Czarkowski, Dariusz

PY - 2005

Y1 - 2005

N2 - In this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements.

AB - In this paper, we present a new algorithm for pushing the first crest of the surplus harmonics backwards, ameliorating the amplitude frequency spectrum distribution of the output waveform, and thus reducing the impact of surplus harmonics in programmed pulse-width modulation (PWM). The problem is first formulated as a constrained optimization problem and then a Trigonometric Differential Evolution (TDE) algorithm is applied to solve it. An eigensolve algorithm is also incorporated into TDE to improve its efficiency and robustness. The simulation results demonstrate that the proposed algorithm outperforms conventional Genetic Algorithm and is robust for a variety of application requirements.

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JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

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T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

Hybrid trigonometric differential evolution for optimizing harmonic distribution

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